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Development of a software tool to perform qualitative analysis on spectral data obtained from a NIR-MOEMS spectrometer.

机译:开发软件工具,对从NIR-MOEMS光谱仪获得的光谱数据进行定性分析。

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摘要

Quality analyses are a vital feature in process monitoring at all production stages. The objective of this thesis is to develop a software tool which can qualitatively analyze spectral data obtained from a Near Infra Red Micro Opto Electro Mechanical Systems (NIR-MOEMS) spectrometer. NIR spectroscopy is a cost effective, non evasive and faster method for analyzing the samples. NIR-MOEMS spectrometer can be used to measure the spectra of samples at any stage of sample manufacturing. Quality analyzing of the samples requires comparing of an unknown sample with samples which are already known. So the software tool developed qualitatively analyzes the data available from the spectrometer at less cost, high speed and using various mathematical operations as pretreatment methods. The software developed requires libraries to be made of known samples and unknown samples are compared with known samples stored in these libraries. Some of the advantages of this software tool over other tools are that this tool can convert the reflection data obtained from NIR-MOEMS spectrometer to absorption data. The software tool is also able to select the wavelength range for comparison depending on user choice provided that this range is a subset of original range obtained from the spectrometer. Libraries of known samples can be made at different wavelength ranges and can be used at any stage of comparison. Future work will focus on development of the tool so that it can be used more dynamically and better methods of data pretreatment are incorporated.;Keywords: NIR spectroscopy, MOEMS spectrometer, Savitzky-Golay Differentiation, Principle Component Analysis, Cluster Analysis.
机译:在所有生产阶段的过程监控中,质量分析都是至关重要的功能。本文的目的是开发一种软​​件工具,可以定性分析从近红外微光电机电系统(NIR-MOEMS)光谱仪获得的光谱数据。近红外光谱法是一种经济高效,无遗漏且速度更快的分析样品的方法。 NIR-MOEMS光谱仪可用于在样品制造的任何阶段测量样品的光谱。样品的质量分析需要将未知样品与已知样品进行比较。因此,开发的软件工具以较低的成本,较高的速度并使用各种数学运算作为预处理方法,定性地分析了可从光谱仪获得的数据。开发的软件要求库由已知样本组成,并将未知样本与存储在这些库中的已知样本进行比较。与其他工具相比,该软件工具的某些优势在于,该工具可以将从NIR-MOEMS光谱仪获得的反射数据转换为吸收数据。该软件工具还能够根据用户选择来选择波长范围进行比较,前提是该范围是从光谱仪获得的原始范围的子集。已知样品的文库可以在不同的波长范围内制备,并且可以在比较的任何阶段使用。未来的工作将集中在工具的开发上,以便可以更动态地使用它,并结合更好的数据预处理方法。关键词:近红外光谱,MOEMS光谱仪,Savitzky-Golay微分,主成分分析,聚类分析。

著录项

  • 作者

    Bajwa, Tejbir Singh.;

  • 作者单位

    University of Nevada, Reno.;

  • 授予单位 University of Nevada, Reno.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2009
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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